Items where City Author is "Skelton, Emily"
Skelton, E. ORCID: 0000-0003-0132-7948, Cromb, D., Smith, A. , van Poppel, M., Morland, C., Rutherford, M., Malamateniou, C. ORCID: 0000-0002-2352-8575 & Ayers, S. (2024). "It's not just the medical aspects that are important": A qualitative exploration of first-time parents' experiences of antenatal imaging and their influence on parent-fetal bonding. Radiography, 30(1), pp. 288-295. doi: 10.1016/j.radi.2023.11.019
Day, T. G., Budd, S., Tan, J. , Matthew, J., Skelton, E. ORCID: 0000-0003-0132-7948, Jowett, V., Lloyd, D., Gomez, A., Hajnal, J. V., Razavi, R., Kainz, B. & Simpson, J. M. (2023). Prenatal diagnosis of hypoplastic left heart syndrome on ultrasound using artificial intelligence: How does performance compare to a current screening programme?. Prenatal Diagnosis, 44(6-7), pp. 717-724. doi: 10.1002/pd.6445
Skelton, E. ORCID: 0000-0003-0132-7948, Smith, A., Harrison, G. ORCID: 0000-0003-2795-8190 , Rutherford, M., Ayers, S. ORCID: 0000-0002-6153-2460 & Malamateniou, C. ORCID: 0000-0002-2352-8575 (2023). The effect of the COVID-19 pandemic on UK parent experiences of pregnancy ultrasound scans and parent-fetal bonding: A mixed methods analysis. PLoS ONE, 18(6), article number e0286578. doi: 10.1371/journal.pone.0286578
Skelton, E. ORCID: 0000-0003-0132-7948, Smith, A., Harrison, G. , Rutherford, M., Ayers, S. ORCID: 0000-0002-6153-2460 & Malamateniou, C. ORCID: 0000-0002-2352-8575 (2023). "It has been the most difficult time in my career": A qualitative exploration of UK obstetric sonographers' experiences during the COVID-19 pandemic. Radiography, 29(3), pp. 582-589. doi: 10.1016/j.radi.2023.03.007
Lovell, H., Silverio, S. A., Story, L. , Skelton, E. ORCID: 0000-0003-0132-7948 & Matthew, J. (2023). Factors which influence ethnic minority women’s participation in maternity research: A systematic review of quantitative and qualitative studies. PLoS ONE, 18(2), article number e0282088. doi: 10.1371/journal.pone.0282088
van de Venter, R., Skelton, E. ORCID: 0000-0003-0132-7948, Matthew, J. , Woznitza, N., Tarroni, G. ORCID: 0000-0002-0341-6138, Hirani, S. P. ORCID: 0000-0002-1577-8806, Kumar, A., Malik, R. & Malamateniou, C. ORCID: 0000-0002-2352-8575 (2023). Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study. Insights Imaging, 14(1), article number 25. doi: 10.1186/s13244-023-01372-2
Zimmer, V. A., Gomez, A., Skelton, E. ORCID: 0000-0003-0132-7948 , Wright, R., Wheeler, G., Deng, S., Ghavami, N., Lloyd, K., Matthew, J., Kainz, B., Rueckert, D., Hajnal, J. V. & Schnabel, J. A. (2023). Placenta segmentation in ultrasound imaging: Addressing sources of uncertainty and limited field-of-view. Medical Image Analysis, 83, article number 102639. doi: 10.1016/j.media.2022.102639
Skelton, E. ORCID: 0000-0003-0132-7948, Malamateniou, C. ORCID: 0000-0002-2352-8575 & Harrison, G. ORCID: 0000-0003-2795-8190 (2022). The impact of the COVID-19 pandemic on clinical guidance and risk assessments, and the importance of effective leadership to support UK obstetric sonographers. Journal of Medical Imaging and Radiation Sciences, 53(4), S107-S115. doi: 10.1016/j.jmir.2022.10.003
Rainey, C., O'Regan, T., Matthew, J. , Skelton, E. ORCID: 0000-0003-0132-7948, Woznitza, N., Chu, K-Y., Goodman, S., McConnell, J., Hughes, C., Bond, R., Malamateniou, C. ORCID: 0000-0002-2352-8575 & McFadden, S. (2022). UK reporting radiographers' perceptions of AI in radiographic image interpretation - Current perspectives and future developments. Radiography, 28(4), pp. 881-888. doi: 10.1016/j.radi.2022.06.006
Stogiannos, N., Skelton, E. ORCID: 0000-0003-0132-7948, Rogers, C. ORCID: 0000-0001-7820-7309 , Sharma, M., Papathanasiou, S. ORCID: 0000-0002-1081-8530, Venter, R. V. D., Nugent, B., Francis, J. M., Walton, L., Sullivan, C. O., Abdurakman, E. ORCID: 0000-0002-7043-052X, Mannion, L. ORCID: 0000-0002-9400-9238, Thorne, R. & Malamateniou, C. ORCID: 0000-0002-2352-8575 (2022). Leadership and resilience in adversity: The impact of COVID-19 on radiography researchers and ways forward. Journal of Medical Imaging and Radiation Sciences, 53(4), S47-S52. doi: 10.1016/j.jmir.2022.09.011
Skelton, E. ORCID: 0000-0003-0132-7948, Webb, R. ORCID: 0000-0002-8862-6491, Malamateniou, C. ORCID: 0000-0002-2352-8575 , Rutherford, M. & Ayers, S. ORCID: 0000-0002-6153-2460 (2022). The impact of antenatal imaging in pregnancy on parent experience and prenatal attachment: a systematic review. Journal of Reproductive and Infant Psychology, 42(1), pp. 22-44. doi: 10.1080/02646838.2022.2088710
Rainey, C., O'Regan, T., Matthew, J. , Skelton, E. ORCID: 0000-0003-0132-7948, Woznitza, N., Chu, K-Y., Goodman, S., McConnell, J., Hughes, C., Bond, R., Malamateniou, C. ORCID: 0000-0002-2352-8575 & McFadden, S. (2022). An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey. Journal of Medical Imaging and Radiation Sciences, 53(3), pp. 347-361. doi: 10.1016/j.jmir.2022.05.010
Skelton, E. ORCID: 0000-0003-0132-7948, Harrison, G. ORCID: 0000-0003-2795-8190, Rutherford, M. , Ayers, S. ORCID: 0000-0002-6153-2460 & Malamateniou, C. ORCID: 0000-0002-2352-8575 (2022). UK obstetric sonographers’ experiences of the COVID-19 pandemic: Burnout, role satisfaction and impact on clinical practice. Ultrasound, 31(1), pp. 12-22. doi: 10.1177/1742271x221091716
Gomez, A., Zimmer, V. A., Wheeler, G. , Toussaint, N., Deng, S., Wright, R., Skelton, E. ORCID: 0000-0003-0132-7948, Matthew, J., Kainz, B., Hajnal, J. V. & Schnabel, J. (2022). PRETUS: A plug-in based platform for real-time ultrasound imaging research. SoftwareX, 17, article number 100959. doi: 10.1016/j.softx.2021.100959
Matthew, Jacqueline, Skelton, Emily ORCID: 0000-0003-0132-7948, Day, Thomas G , Zimmer, Veronika A, Gomez, Alberto, Wheeler, Gavin, Toussaint, Nicolas, Liu, Tianrui, Budd, Samuel, Lloyd, Karen, Wright, Robert, Deng, Shujie, Ghavami, Nooshin, Sinclair, Matthew, Meng, Qingjie, Kainz, Bernhard, Schnabel, Julia A, Rueckert, Daniel, Razavi, Reza, Simpson, John & Hajnal, Jo (2022). Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time. Prenatal Diagnosis, 42(1), pp. 49-59. doi: 10.1002/pd.6059
Matthew, J., Skelton, E. ORCID: 0000-0003-0132-7948, Story, L. , Davidson, A., Knight, C. L., Gupta, C., Pasupathy, D. & Rutherford, M. (2021). MRI-Derived Fetal Weight Estimation in the Midpregnancy Fetus: A Method Comparison Study. Fetal Diagnosis and Therapy, 48(10), pp. 708-719. doi: 10.1159/000519115
Malamateniou, C. ORCID: 0000-0002-2352-8575, McFadden, S., McQuinlan, Y. , England, A., Woznitza, N., Goldsworthy, S., Currie, C., Skelton, E. ORCID: 0000-0003-0132-7948, Chu, K-Y., Alware, N., Matthews, P., Hawkesford, R., Tucker, R., Town, W., Matthew, J., Kalinka, C. & O'Regan, T. (2021). Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group. Radiography, 27(4), pp. 1192-1202. doi: 10.1016/j.radi.2021.07.028
Skelton, E. ORCID: 0000-0003-0132-7948, Matthew, J., Li, Y. , Khanal, B., Cerrolaza Martinez, J. J., Toussaint, N., Gupta, C., Knight, C., Kainz, B., Hajnal, J. V. & Rutherford, M. (2020). Towards automated extraction of 2D standard fetal head planes from 3D ultrasound acquisitions: A clinical evaluation and quality assessment comparison. Radiography, 27(2), pp. 519-526. doi: 10.1016/j.radi.2020.11.006